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This paper investigates the efficacy of neural networks and simple technical indicators in predicting stock market movement. The prediction system uses a back-propagation neural network and the KD and %R indicators. Our results show that monthly indicators respond too slowly to effectively capture the market trends. The %R indicator is a better market(More)
There are numerous applications for wireless sensor networks which are inevitable now a day in our daily life. Majority of such applications which use wireless sensor networks will be in areas where the direct human intervention is impossible. So the limited energy available in such sensors is a threat for prolonging the life of the entire network. The need(More)
Genetic Algorithm (GA) classifier can automatically search a proper clustering number according to fitness evaluation instead of assignment by users. In this study, a GA classifier with various fitness functions is adopted to search the cluster centers and a suitable cluster number for digital images to overcome the disadvantages of the conventional(More)
As more and more utility installation and/or maintenance activities are located in highly congested urban roadways, frequent pavement utility cuts in such areas may cause more traffic disruption as well as deteriorate pavement life and quality. Utility owners normally need to obtain permits from public road authorities before commencing utility activities;(More)
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